ScienceQtech is a startup that works in the Data Science field. ScienceQtech has worked on fraud detection, market basket, self-driving cars, supply chain, algorithmic early detection of lung cancer, customer sentiment, and the drug discovery field. With the annual appraisal cycle around the corner, the HR department has asked you (Junior Database Administrator) to generate reports on employee details, their performance, and on the project that the employees have undertaken, to analyze the employee database and extract specific data based on different requirements.
To facilitate a better understanding, managers have provided ratings for each employee which will help the HR department to finalize the employee performance mapping. As a DBA, you should find the maximum salary of the employees and ensure that all jobs are meeting the organization's profile standard. You also need to calculate bonuses to find extra cost for expenses. This will raise the overall performance of the organization by ensuring that all required employees receive training.
Create a database named employee, then import data_science_team.csv proj_table.csv and emp_record_table.csv into the employee database from the given resources.
Create an ER diagram for the given employee database.
Write a query to fetch EMP_ID, FIRST_NAME, LAST_NAME, GENDER, and DEPARTMENT from the employee record table, and make a list of employees and details of their department.
Write a query to fetch EMP_ID, FIRST_NAME, LAST_NAME, GENDER, DEPARTMENT, and EMP_RATING if the EMP_RATING is:
less than two
greater than four
between two and four
Write a query to concatenate the FIRST_NAME and the LAST_NAME of employees in the Finance department from the employee table and then give the resultant column alias as NAME.
Write a query to list only those employees who have someone reporting to them. Also, show the number of reporters (including the President).
Write a query to list down all the employees from the healthcare and finance departments using union. Take data from the employee record table.
Write a query to list down employee details such as EMP_ID, FIRST_NAME, LAST_NAME, ROLE, DEPARTMENT, and EMP_RATING grouped by dept. Also include the respective employee rating along with the max emp rating for the department.
Write a query to calculate the minimum and the maximum salary of the employees in each role. Take data from the employee record table.
Write a query to assign ranks to each employee based on their experience. Take data from the employee record table.
Write a query to create a view that displays employees in various countries whose salary is more than six thousand. Take data from the employee record table.
Write a nested query to find employees with experience of more than ten years. Take data from the employee record table.
Write a query to create a stored procedure to retrieve the details of the employees whose experience is more than three years. Take data from the employee record table.
Write a query using stored functions in the project table to check whether the job profile assigned to each employee in the data science team matches the organization’s set standard.
Note: The standard being:
For an employee with experience less than or equal to 2 years assign 'JUNIOR DATA SCIENTIST',
For an employee with the experience of 2 to 5 years assign 'ASSOCIATE DATA SCIENTIST',
For an employee with the experience of 5 to 10 years assign 'SENIOR DATA SCIENTIST',
For an employee with the experience of 10 to 12 years assign 'LEAD DATA SCIENTIST',
For an employee with the experience of 12 to 16 years assign 'MANAGER'.
Create an index to improve the cost and performance of the query to find the employee whose FIRST_NAME is ‘Eric’ in the employee table after checking the execution plan.
Write a query to calculate the bonus for all the employees, based on their ratings and salaries (Use the formula: 5% of salary * employee rating).
Write a query to calculate the average salary distribution based on the continent and country. Take data from the employee record table.
-- Dropping Database
DROP DATABASE IF EXISTS employee;
-- 1. Create a database named employee, then import data_science_team.csv proj_table.csv and emp_record_table.csv into the employee database from the given resources.
-- CREATE DATABASE
CREATE DATABASE IF NOT EXISTS employee;
-- USE DATABASE
USE employee;
-- CREATE TABLES
-- emp_record_table
CREATE TABLE IF NOT EXISTS emp_record_table(
EMP_ID VARCHAR(6) NOT NULL,
FIRST_NAME VARCHAR(30) NOT NULL,
LAST_NAME VARCHAR(30) NOT NULL,
GENDER VARCHAR(4) NOT NULL,
ROLE VARCHAR(40) NOT NULL,
DEPT VARCHAR(40) NOT NULL,
EXP INT NOT NULL,
COUNTRY VARCHAR(20) NOT NULL,
CONTINENT VARCHAR(20) NOT NULL,
SALARY INT NOT NULL,
EMP_RATING INT NOT NULL,
MANAGER_ID VARCHAR(6) ,
PROJ_ID VARCHAR(6)
);
-- proj_table
CREATE TABLE IF NOT EXISTS proj_table(
PROJ_ID VARCHAR(6),
PROJ_Name VARCHAR(40) NOT NULL,
DOMAIN VARCHAR(30) NOT NULL,
START_DATE VARCHAR(20) NOT NULL,
CLOSURE_DATE VARCHAR(20) NOT NULL,
DEV_QTR VARCHAR(2) NOT NULL,
STATUS VARCHAR(20) NOT NULL
);
-- Data_science_team
CREATE TABLE IF NOT EXISTS data_science_team(
EMP_ID VARCHAR(6) NOT NULL,
FIRST_NAME VARCHAR(30) NOT NULL,
LAST_NAME VARCHAR(30) NOT NULL,
GENDER VARCHAR(4) NOT NULL,
ROLE VARCHAR(40) NOT NULL,
DEPT VARCHAR(20) NOT NULL,
EXP INT NOT NULL,
COUNTRY VARCHAR(20) NOT NULL,
CONTINENT VARCHAR(20) NOT NULL
);
-- LOAD DATA -- proj_table
LOAD DATA LOCAL INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/proj_table.csv'
INTO TABLE proj_table
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
-- Data_science_team
LOAD DATA LOCAL INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/data_science_team.csv'
INTO TABLE data_science_team
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
-- emp_record_table
LOAD DATA LOCAL INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/emp_record_table.csv'
INTO TABLE emp_record_table
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
-- 2. Create an ER diagram for the given employee database.
-- ER Diagram
-- 3. Write a query to fetch EMP_ID, FIRST_NAME, LAST_NAME, GENDER, and DEPARTMENT from the employee record table, and make a list of employees and details of their department.
SELECT
emp_record_table.EMP_ID,
emp_record_table.FIRST_NAME,
emp_record_table.LAST_NAME,
emp_record_table.GENDER,
emp_record_table.DEPT
FROM
emp_record_table
ORDER BY emp_record_table.DEPT;
-- 4. Write a query to fetch EMP_ID, FIRST_NAME, LAST_NAME, GENDER, DEPARTMENT, and EMP_RATING if the EMP_RATING is:
-- less than two
SELECT
emp_record_table.EMP_ID,
emp_record_table.FIRST_NAME,
emp_record_table.LAST_NAME,
emp_record_table.GENDER,
emp_record_table.DEPT,
emp_record_table.EMP_RATING
FROM
emp_record_table
WHERE
emp_record_table.EMP_RATING < 2
ORDER BY emp_record_table.EMP_RATING;
-- greater than four
SELECT
emp_record_table.EMP_ID,
emp_record_table.FIRST_NAME,
emp_record_table.LAST_NAME,
emp_record_table.GENDER,
emp_record_table.DEPT,
emp_record_table.EMP_RATING
FROM
emp_record_table
WHERE
emp_record_table.EMP_RATING > 4
ORDER BY emp_record_table.EMP_RATING;
-- between two and four
SELECT
emp_record_table.EMP_ID,
emp_record_table.FIRST_NAME,
emp_record_table.LAST_NAME,
emp_record_table.GENDER,
emp_record_table.DEPT,
emp_record_table.EMP_RATING
FROM
emp_record_table
WHERE
emp_record_table.EMP_RATING BETWEEN 2 AND 4
ORDER BY emp_record_table.EMP_RATING;
-- 5. Write a query to concatenate the FIRST_NAME and the LAST_NAME of employees in the Finance department from the employee table and then give the resultant column alias as NAME.
SELECT
CONCAT(emp_record_table.FIRST_NAME,
' ',
emp_record_table.LAST_NAME) AS NAME
FROM
emp_record_table
WHERE
emp_record_table.DEPT ='FINANCE';
-- 6. Write a query to list only those employees who have someone reporting to them. Also, show the number of reporters (including the President).
-- Due to the SQL MODE
SET @@sql_mode = SYS.LIST_DROP(@@sql_mode, 'ONLY_FULL_GROUP_BY');
SELECT
emp_record_table.FIRST_NAME,
emp_record_table.LAST_NAME,
COUNT(emp_record_table.MANAGER_ID) AS NUMBER_OF_REPORTERS
FROM
emp_record_table
GROUP BY emp_record_table.MANAGER_ID
HAVING COUNT(emp_record_table.MANAGER_ID) > 0
ORDER BY emp_record_table.MANAGER_ID;
-- 7. Write a query to list down all the employees from the healthcare and finance departments using union. Take data from the employee record table.
SELECT *
FROM
emp_record_table
WHERE
emp_record_table.DEPT = 'HEALTHCARE'
UNION
SELECT *
FROM
emp_record_table
WHERE
emp_record_table.DEPT = 'FINANCE'
ORDER BY EMP_ID;
-- 8. Write a query to list down employee details such as EMP_ID, FIRST_NAME, LAST_NAME, ROLE, DEPARTMENT, and EMP_RATING grouped by dept. Also include the respective employee rating along with the max emp rating for the department.
SELECT *,
MAX(emp_record_table.EMP_RATING)
FROM
emp_record_table
GROUP BY emp_record_table.DEPT
ORDER BY emp_record_table.DEPT;
-- 9. Write a query to calculate the minimum and the maximum salary of the employees in each role. Take data from the employee record table.
SELECT
emp_record_table.ROLE,
MIN(emp_record_table.SALARY) AS MINIMUM_SALARY,
MAX(emp_record_table.SALARY) AS MAXIMUM_SALARY
FROM
emp_record_table
GROUP BY emp_record_table.ROLE
ORDER BY emp_record_table.ROLE;
-- 10. Write a query to assign ranks to each employee based on their experience. Take data from the employee record table.
SELECT
emp_record_table.EMP_ID,
concat(emp_record_table.FIRST_NAME,
' ',
emp_record_table.LAST_NAME) as NAME,
emp_record_table.DEPT,
emp_record_table.EXP,
rank() OVER(ORDER BY emp_record_table.EXP DESC) as EMP_EXP_RANK
FROM
emp_record_table;
-- 11. Write a query to create a view that displays employees in various countries whose salary is more than six thousand. Take data from the employee record table.
CREATE VIEW
emp_salary_view AS
SELECT
emp_record_table.EMP_ID,
emp_record_table.FIRST_NAME,
emp_record_table.LAST_NAME,
emp_record_table.SALARY,
emp_record_table.COUNTRY
FROM
emp_record_table
WHERE
emp_record_table.SALARY > 6000
ORDER BY emp_record_table.SALARY;
-- 12. Write a nested query to find employees with experience of more than ten years. Take data from the employee record table.
SELECT
emp_record_table.EMP_ID,
emp_record_table.FIRST_NAME,
emp_record_table.LAST_NAME,
emp_record_table.EXP
FROM
emp_record_table
WHERE
emp_record_table.EXP > 10
ORDER BY emp_record_table.EXP;
-- 13. Write a query to create a stored procedure to retrieve the details of the employees whose experience is more than three years. Take data from the employee record table.
SELECT *
FROM
emp_record_table
WHERE
emp_record_table.EXP > 3
ORDER BY emp_record_table.EXP;
-- 14. Write a query using stored functions in the project table to check whether the job profile assigned to each employee in the data science team matches the organization’s set standard.
-- Note: The standard being:
-- * For an employee with experience less than or equal to 2 years assign 'JUNIOR DATA SCIENTIST', -- * For an employee with the experience of 2 to 5 years assign 'ASSOCIATE DATA SCIENTIST', -- * For an employee with the experience of 5 to 10 years assign 'SENIOR DATA SCIENTIST', -- * For an employee with the experience of 10 to 12 years assign 'LEAD DATA SCIENTIST', -- * For an employee with the experience of 12 to 16 years assign 'MANAGER'.
delimiter //
CREATE FUNCTION
check_role(exp int)
RETURNS VARCHAR(40)
DETERMINISTIC
BEGIN
DECLARE
chck VARCHAR(40);
IF EXP <= 2 THEN
SET chck = "JUNIOR DATA SCIENTIST";
elseif exp > 2 AND exp <= 5 THEN
SET chck = "ASSOCIATE DATA SCIENTIST";
elseif exp > 5 AND exp <= 10 THEN
SET chck = "SENIOR DATA SCIENTIST";
elseif exp > 10 AND exp <= 12 THEN
SET chck = "LEAD DATA SCIENTIST";
elseif exp > 12 AND exp <= 16 THEN
SET chck = "MANAGER";
end if;
RETURN(chck);
END //
delimiter ;
-- checking Data Science Team
SELECT
EMP_ID,
FIRST_NAME,
LAST_NAME,
ROLE,
EXP,
check_role(exp)
FROM
data_science_team
WHERE data_science_team.ROLE != check_role(exp);
-- 15. Create an index to improve the cost and performance of the query to find the employee whose FIRST_NAME is ‘Eric’ in the employee table after checking the execution plan.
SELECT *
FROM
emp_record_table
WHERE
emp_record_table.FIRST_NAME = 'Eric';
-- 16. Write a query to calculate the bonus for all the employees, based on their ratings and salaries (Use the formula: 5% of salary * employee rating).
SELECT
emp_record_table.EMP_ID,
emp_record_table.FIRST_NAME,
emp_record_table.DEPT,
emp_record_table.SALARY,
emp_record_table.EMP_RATING,
(emp_record_table.SALARY * 0.05 * emp_record_table.EMP_RATING) AS BONUS
FROM
emp_record_table
ORDER BY EMP_ID DESC;
-- 17. Write a query to calculate the average salary distribution based on the continent and country. Take data from the employee record table.
SELECT
emp_record_table.COUNTRY,
emp_record_table.CONTINENT,
AVG(emp_record_table.SALARY) AS AVERAGE_SALARY
FROM
emp_record_table
GROUP BY emp_record_table.COUNTRY, emp_record_table.CONTINENT
ORDER BY emp_record_table.CONTINENT, emp_record_table.COUNTRY;
